C. A. Struthers
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Economics and Econometrics top 10%
- Health Systems, Economic Evaluations, Quality of Life
Papers in
-
- Statistical Distribution Estimation and Applications 3
- Statistical Methods and Inference 2
- Statistical Methods and Bayesian Inference 2
- Advanced Statistical Methods and Models 1
-
- Bayesian Methods and Mixture Models 4
- Co-authors
- John D. Kalbfleisch (1 shared paper)Vernon T. Farewell (3 shared papers)J. D. Kalbfleisch (1 shared paper)Mary M. Fanning (1 shared paper)Frances A. Shepherd (1 shared paper)Stanley Read (1 shared paper)Douglas MacFadden (1 shared paper)R. A. Coates (1 shared paper)
- Journals
- Biometrika (4 papers)International Journal of Epidemiology (1 paper)Canadian Journal of Statistics (1 paper)Biostatistics (1 paper)
- Partner nations
- Canada
In The Last Decade
C. A. Struthers
7 papers receiving 320 citations
Peers
Comparison fields: 5 of 72
- Statistics and Probability 271
- Economics and Econometrics 77
- Demography 20
- Statistics, Probability and Uncertainty 11
- Virology 6
Countries citing papers authored by C. A. Struthers
This map shows the geographic impact of C. A. Struthers's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. A. Struthers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. A. Struthers more than expected).
Fields of papers citing papers by C. A. Struthers
This network shows the impact of papers produced by C. A. Struthers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. A. Struthers. The network helps show where C. A. Struthers may publish in the future.
Co-authors
The 8 scholars most cited alongside C. A. Struthers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 290 | |
| 2 | 1989 | 28 | |
| 3 | 1992 | 7 | |
| 4 | 2011 | 4 | |
| 5 | 1986 | 4 | |
| 6 | 2006 | 4 | |
| 7 | 1989 | 2 |
About C. A. Struthers
C. A. Struthers is a scholar working on Statistics and Probability, Artificial Intelligence, Infectious Diseases, Mathematical Physics and Epidemiology, having authored 7 papers that have together received 339 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (4 papers), Statistical Distribution Estimation and Applications (3 papers), Statistical Methods and Inference (2 papers), Statistical Methods and Bayesian Inference (2 papers), HIV, Drug Use, Sexual Risk (1 paper), HIV/AIDS Research and Interventions (1 paper), HIV/AIDS Impact and Responses (1 paper) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Statistics and Probability (271 citations), Economics and Econometrics (77 citations), Demography (20 citations), Statistics, Probability and Uncertainty (11 citations) and Virology (6 citations). C. A. Struthers has collaborated with scholars based in Canada. Frequent co-authors include John D. Kalbfleisch, Vernon T. Farewell, J. D. Kalbfleisch, Mary M. Fanning, Frances A. Shepherd, Stanley Read, Douglas MacFadden and R. A. Coates. Their work appears in journals such as Biometrika, International Journal of Epidemiology, Canadian Journal of Statistics and Biostatistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.